Synchronization of oscillations for machine perception of gaits
Computer Vision and Image Understanding
Artificial Intelligence Review
Synchronization of oscillations for machine perception of gaits
Computer Vision and Image Understanding
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We address the problem of interpreting visual surveil-lancedata by learning appropriate spatio-temporal sub-spacesof active image regions caused by scene activities.We focus on identifying regions of sustained change forrecognising key stages of a visual behaviour. Our behaviourrepresentation is based on the asynchrony or delay patternsof occurrence among local events which need notbe spatially connected. We use an automatic NormalisedCut structure discovery algorithm with a hybrid similaritycriteria for simultaneously identifying relevant spatio-temporalsubspaces and clustering similar behaviour pat-ternsin those subspaces. We compare the automaticallydiscovered classes with conceptual classes of behaviours ina semi-constrained "Shopping" scenario.